Hybridization of Divide-and-Conquer technique and Neural Network algorithm for better contrast enhancement in medical images
Saved in:
| Date: | 2022 |
|---|---|
| Main Authors: | F. Aqel, K. Alaa, N. Alaa, M. Atounti |
| Format: | Article |
| Language: | English |
| Published: |
2022
|
| Series: | Mathematical Modeling and Computing |
| Online Access: | http://jnas.nbuv.gov.ua/article/UJRN-0001378981 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Journal Title: | Library portal of National Academy of Sciences of Ukraine | LibNAS |
Institution
Library portal of National Academy of Sciences of Ukraine | LibNASSimilar Items
Image restoration and contrast enhancement based on a nonlinear reaction-diffusion mathematical model and divide & conquer technique
by: K. Alaa, et al.
Published: (2021)
by: K. Alaa, et al.
Published: (2021)
A new mathematical model for contrast enhancement in digital images
by: N. Alaa, et al.
Published: (2022)
by: N. Alaa, et al.
Published: (2022)
A new Lattice Boltzmann method for a Gray–Scott based model applied to image restoration and contrast enhancement
by: H. Alaa, et al.
Published: (2022)
by: H. Alaa, et al.
Published: (2022)
Color image contrast enhancement based on the fuzzy clustering and the singular values decomposition
by: L. G. Akhmetshina, et al.
Published: (2017)
by: L. G. Akhmetshina, et al.
Published: (2017)
Enhancing image inpainting through image decomposition and deep neural networks
by: K. Bellaj, et al.
Published: (2023)
by: K. Bellaj, et al.
Published: (2023)
Application of neural networks in the classification of medical images textures
by: R. Dzierїak, et al.
Published: (2018)
by: R. Dzierїak, et al.
Published: (2018)
Application of neural networks in the classification of medical images textures
by: Dzierżak, R., et al.
Published: (2018)
by: Dzierżak, R., et al.
Published: (2018)
Analysis and recovery of low-contrast images by neural network synthesis in comparison with the linear prediction
by: A. A. Stepanenko
Published: (2017)
by: A. A. Stepanenko
Published: (2017)
Neural and statistical techniques for remote sensing image classification
by: Grypych, Iu., et al.
Published: (2010)
by: Grypych, Iu., et al.
Published: (2010)
Neural and statistical techniques for remote sensing image classification
by: Grypych, Iu., et al.
Published: (2026)
by: Grypych, Iu., et al.
Published: (2026)
Degenerative disc disease in young people. Medical imaging techniques
by: Ja. Abdullaev, et al.
Published: (2020)
by: Ja. Abdullaev, et al.
Published: (2020)
Semilinear periodic equation with arbitrary nonlinear growth and data measure: mathematical analysis and numerical simulation
by: El Ghabi, et al.
Published: (2023)
by: El Ghabi, et al.
Published: (2023)
Two-step recommendations: contrast analysis and matrix factorization techniques
by: M. Aleksandrova, et al.
Published: (2014)
by: M. Aleksandrova, et al.
Published: (2014)
Two-step recommendations: contrast analysis and matrix factorization techniques
by: Aleksandrova, M., et al.
Published: (2014)
by: Aleksandrova, M., et al.
Published: (2014)
Medical images of breast tumors diagnostics with application of hybrid CNN–FNN network
by: Yu. Zaychenko, et al.
Published: (2018)
by: Yu. Zaychenko, et al.
Published: (2018)
Modelling of material surface relief by analysis of image local contrasts
by: I. M. Zhuravel
Published: (2015)
by: I. M. Zhuravel
Published: (2015)
Application of threshold detectors for increasing of the contrast in X-ray images
by: Sotnikov, V.V., et al.
Published: (2005)
by: Sotnikov, V.V., et al.
Published: (2005)
Folkloric "Achilles" Conquers Briseis – a Girl-Commoner
by: I. Reboshapka
Published: (2011)
by: I. Reboshapka
Published: (2011)
Contrast enhancement of X-ray fluorescence spectra using the secondary two-layer radiator
by: Mikhailov, I.F., et al.
Published: (2011)
by: Mikhailov, I.F., et al.
Published: (2011)
Multilevel Method of Local Contrast Increase and Images Heterogeneous Background Removal
by: S. V. Balovsjak, et al.
Published: (2015)
by: S. V. Balovsjak, et al.
Published: (2015)
Adaptive method to improve low-contrast images based on the fuzzy transformation
by: L. G. Akhmetshina, et al.
Published: (2016)
by: L. G. Akhmetshina, et al.
Published: (2016)
Analysis of the Impact of Structural Features of Diffractive Optical Modulators on Image Contrast
by: Yurlov, V. I., et al.
Published: (2013)
by: Yurlov, V. I., et al.
Published: (2013)
Neural network-based seismic resolution enhancement technology
by: O. V. Noskov
Published: (2024)
by: O. V. Noskov
Published: (2024)
Noncommutative rings with elementary dividers
by: Zabavsky, В. V., et al.
Published: (1990)
by: Zabavsky, В. V., et al.
Published: (1990)
High expression of GLI1 is associated with better survival in advanced SCLC
by: Kozirovskis, V., et al.
Published: (2023)
by: Kozirovskis, V., et al.
Published: (2023)
Image Enhancement In Video Analytics Systems
by: O. M. Golovin
Published: (2020)
by: O. M. Golovin
Published: (2020)
Image Enhancement In Video Analytics Systems
by: Golovin, O.M.
Published: (2020)
by: Golovin, O.M.
Published: (2020)
Betterment of technology of polystyrene model manufacture for lost foam process with a thermocutter
by: L. A. Dan, et al.
Published: (2012)
by: L. A. Dan, et al.
Published: (2012)
Medical image segmentation methods overview
by: B. V. Chapaliuk, et al.
Published: (2018)
by: B. V. Chapaliuk, et al.
Published: (2018)
Method of detecting falsification in medical images
by: Zorylo, V. V., et al.
Published: (2015)
by: Zorylo, V. V., et al.
Published: (2015)
Construction of diagnostic expert-medical system using neural networks
by: M. M. Hlybovets, et al.
Published: (2020)
by: M. M. Hlybovets, et al.
Published: (2020)
Construction of diagnostic expert-medical system using neural networks
by: Glybovets, M.M., et al.
Published: (2020)
by: Glybovets, M.M., et al.
Published: (2020)
Detection of structural features of objects using X-ray phase-contrast imaging method
by: A. Ovcharenko, et al.
Published: (2024)
by: A. Ovcharenko, et al.
Published: (2024)
Detection of structural features of objects using X-ray phase-contrast imaging method
by: A. Y. Ovcharenko, et al.
Published: (2024)
by: A. Y. Ovcharenko, et al.
Published: (2024)
Theory of formation of the contrast of electron microscopy images of amorphous substances with complex chemical composition
by: Yu. Bobyk, et al.
Published: (2012)
by: Yu. Bobyk, et al.
Published: (2012)
Different Electron-Scattering Mechanisms’ Contribution to the Formation of the Amplitude Contrast of Electron-Microscopic Images
by: Bobyk, M.Yu., et al.
Published: (2015)
by: Bobyk, M.Yu., et al.
Published: (2015)
Effectiveness public administration in inventions and innovations – a thorny path to a better future
by: A. V. Luzan
Published: (2015)
by: A. V. Luzan
Published: (2015)
The procedure of filtering diagnostic images to enhance their informativeness
by: A. S. Ogir, et al.
Published: (2017)
by: A. S. Ogir, et al.
Published: (2017)
Usage Modeling of Divided Libraries Informational Resources
by: N. Samokhina
Published: (2006)
by: N. Samokhina
Published: (2006)
Determining of hydrodynamic parameters for separator with dividing hydrosurface
by: A. D. Poluljakh, et al.
Published: (2015)
by: A. D. Poluljakh, et al.
Published: (2015)
Similar Items
-
Image restoration and contrast enhancement based on a nonlinear reaction-diffusion mathematical model and divide & conquer technique
by: K. Alaa, et al.
Published: (2021) -
A new mathematical model for contrast enhancement in digital images
by: N. Alaa, et al.
Published: (2022) -
A new Lattice Boltzmann method for a Gray–Scott based model applied to image restoration and contrast enhancement
by: H. Alaa, et al.
Published: (2022) -
Color image contrast enhancement based on the fuzzy clustering and the singular values decomposition
by: L. G. Akhmetshina, et al.
Published: (2017) -
Enhancing image inpainting through image decomposition and deep neural networks
by: K. Bellaj, et al.
Published: (2023)